Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors

The prevalence of micro-holes is widespread in mechanical, electronic, optical, ornaments, micro-fluidic devices, etc. However, monitoring and detection tool wear and tool breakage are imperative to achieve improved hole quality and high productivity in micro-drilling. The various multi-sensor signa...

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Detalles Bibliográficos
Autores principales: Ranjan, Jitesh, Patra, Karali, Szalay, Tibor, Mia, Mozammel, Gupta, Munish Kumar, Song, Qinghua, Krolczyk, Grzegorz, Chudy, Roman, Pashnyov, Vladislav Alievich, Pimenov, Danil Yurievich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039300/
https://www.ncbi.nlm.nih.gov/pubmed/32046037
http://dx.doi.org/10.3390/s20030885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039300/
https://www.ncbi.nlm.nih.gov/pubmed/32046037
http://dx.doi.org/10.3390/s20030885

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